AIMC Topic: Humans

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Postsurgery Classification of Best-Corrected Visual Acuity Changes Based on Pterygium Characteristics Using the Machine Learning Technique.

TheScientificWorldJournal
INTRODUCTION: Early detection of visual symptoms in pterygium patients is crucial as the progression of the disease can cause visual disruption and contribute to visual impairment. Best-corrected visual acuity (BCVA) and corneal astigmatism influence...

An Optimized Hybrid Deep Learning Model to Detect COVID-19 Misleading Information.

Computational intelligence and neuroscience
Fake news is challenging to detect due to mixing accurate and inaccurate information from reliable and unreliable sources. Social media is a data source that is not trustworthy all the time, especially in the COVID-19 outbreak. During the COVID-19 ep...

How to predict relapse in leukemia using time series data: A comparative in silico study.

PloS one
Risk stratification and treatment decisions for leukemia patients are regularly based on clinical markers determined at diagnosis, while measurements on system dynamics are often neglected. However, there is increasing evidence that linking quantitat...

First-in-Human Robot-Assisted Subretinal Drug Delivery Under Local Anesthesia.

American journal of ophthalmology
PURPOSE: To report the results of a first-in-human study using a robotic device to assist subretinal drug delivery in patients undergoing vitreoretinal surgery for macular hemorrhage.

Implementation of robot-assisted curative resection for rare anorectal tumours on the basis of individualised treatment.

The international journal of medical robotics + computer assisted surgery : MRCAS
PURPOSE: To evaluate the validity of robot-assisted curative operation for rare anorectal tumours, characterised by biological heterogeneity and anatomical complexity.

Efficacy and Safety of Appropriate Shocks and Antitachycardia Pacing in Transvenous and Subcutaneous Implantable Defibrillators: Analysis of All Appropriate Therapy in the PRAETORIAN Trial.

Circulation
BACKGROUND: The PRAETORIAN trial (A Prospective, Randomized Comparison of Subcutaneous and Transvenous Implantable Cardioverter Defibrillator Therapy) showed noninferiority of subcutaneous implantable cardioverter defibrillator (S-ICD) compared with ...

Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis.

International journal of medical informatics
BACKGROUND: Applying machine learning to predicting oral cavity cancer prognosis is important in selecting candidates for aggressive treatment following diagnosis. However, models proposed so far have only considered cancer survival as discrete rathe...

An Overview of Machine Learning and 5G for People with Disabilities.

Sensors (Basel, Switzerland)
Currently, over a billion people, including children (or about 15% of the world's population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with disabilities generally experien...

Machine Learning Techniques for Differential Diagnosis of Vertigo and Dizziness: A Review.

Sensors (Basel, Switzerland)
Vertigo is a sensation of movement that results from disorders of the inner ear balance organs and their central connections, with aetiologies that are often benign and sometimes serious. An individual who develops vertigo can be effectively treated ...